Key research themes
1. How can the probability and risk of Service Level Agreement (SLA) violations, especially regarding service availability, be modeled and quantified?
Quantifying the risk and probability of SLA violations related to service availability is crucial for providers to assess financial and operational risks. Research focuses on mathematical modeling of service states (availability/unavailability), statistical distributions of restoration times, and impacts of evaluation intervals on SLA breach probabilities and compensation liabilities.
2. How can multi-objective optimization methods improve SLA compliance and resource management in cloud and fog computing environments?
Cloud and fog computing face challenges in resource allocation balancing cost, energy consumption, and SLA compliance. Multi-objective optimization techniques, especially heuristic and meta-heuristic approaches, are investigated to optimize VM placement, server consolidation, and resource provisioning, simultaneously addressing conflicting objectives such as minimizing SLA violations, energy use, migration overhead, and operational costs.
3. What methods and protocols can enable dynamic SLA management including renegotiation and secure, automated SLA enforcement in distributed computing environments?
Static SLAs can limit flexibility and adaptability in dynamic cloud and grid computing environments. Research focuses on extending existing SLA specifications to enable runtime SLA renegotiation, dynamic adaptability, and automated secure enforcement. Blockchain-based consensus mechanisms and extended protocol specifications are explored to support trustworthy, decentralized SLA lifecycle management, including monitoring, violation detection, penalty enforcement, and renegotiation.